ZipRecruiter

Log In

1

Data Science Jobs in Melbourne, FL (NOW HIRING)

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets and all source analysis. The successful candidate must be able to understand ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in ...

ENSCO, Inc.

Junior Scientific Data Analyst

Melbourne, FL · On-site

$65K - $108K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in ...

KP Reddy Co.

Director of AI & Innovation

Melbourne, FL · On-site

Preferred : • Master's degree in engineering, architecture, construction management, computer/data science, or a technology-focused business field. Company : KP Reddy Co offers venture capital ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsData Science Jobs in Melbourne, FL

Data Science information

See Melbourne, FL salary details

$34.8K

$113.8K

$182.1K

How much do data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science in Melbourne, FL is $113,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $126,100.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Melbourne, FL?

The most popular types of Data Science jobs in Melbourne, FL are:

What are popular job titles related to Data Science jobs in Melbourne, FL?

For Data Science jobs in Melbourne, FL, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Melbourne, FL look for?

The top searched job categories for Data Science jobs in Melbourne, FL are:

What cities near Melbourne, FL are hiring for Data Science jobs?

Cities near Melbourne, FL with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Melbourne, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,769 per year, or $54.7 per hour.

Scientific Data Analyst

ENSCO, Inc.

Melbourne, FL • On-site

Full-time

Re-posted yesterday

Job description

Job Description

ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets and all source analysis. The successful candidate must be able to understand waveform propagation, data fusion, and be able to apply it to conduct analysis of data sets. Demonstrated understanding of digital signal processing, mathematics and in-depth knowledge of time series analytical expertise is required.

ENSCO's Mission System Group (MSG) Division provides innovative customized products and services vital to national safety and security. A primary focus area is the development of software systems for multipurpose geophysical and other data collection, processing, and analysis.

Qualifications Required:

  • Bachelors Degree or equivalent experience + Minimum 3 years' experience as a 9S100 seismic analyst in the United States Air Force

  • Minimum of 3 years related experience in the following:

    • Demonstrated experience in seismo-acoustic waveform analysis and experience using seismo-acoustic analysis software such as ARS (Analyst Review Station), Geotool/Seatools, SAC (Seismic Analysis Code).

    • Detailed understanding of local, regional, and teleseismic seismic phases.

    • Understanding of digital signal processing including spectral analysis.

    • Observational ability to interpret time series waveform data, identify seismic, infrasonic, and hydroacoustic phases, distinguish signals from background noise.

    • A self-starter with excellent oral and written communication skills.

    • Experience navigating within the Linux environment.

    • Experience running programs in python, Matlab, or other scientific software.

    • Demonstrated experience with Microsoft Office (Excel, Word, PowerPoint).

  • AN ACTIVE TS/SCI SECURITY CLEARANCE IS REQUIRED FOR THIS POSITION, FOR WHICH, YOU MUST BE A U.S. CITIZEN.

Qualifications Desired:

  • Ability to build an average of 60 seismic events per day.

  • Experience working with large disparate data sets identifying long-term and short patterns in data.

  • Experience with data fusion analytics.

  • Experience with Magnitude, Distance, Amplitude Correction (MDAC) methodology.

  • Ability to conduct spatio-temporal analysis.

  • Familiarity with workflow in an operational environment.

  • Familiarity with Government mission sets.

Required Certifications: None

U.S. Citizenship Required: Yes

Security Clearance Required: TS/SCI

Employment Type: Regular Full-time

Background Check Type: 7 Year Pre-Employment

Drug Screen Required: None

Position Contingent Upon Contract Award: Yes

Apply